Molecular Recognition TechnologyTM (MRT™) for Selective Metal Separation in Green E-Waste Processing †
Abstract
1. Introduction
2. Materials and Methods
3. Results
3.1. Base Metals Recovery (Stages 1 and 2)



| Element | SuperLig ® | Capacity of SuperLig® (mM/g of SuperLig ®) | Product | Element Concentration (g/L) | Product Purity (%) |
|---|---|---|---|---|---|
| Fe | 92 | 0.254 | FeSO4 | 10.656 | 99.9 + |
| Cu | 146 | 0.432 | CuSO4 | 15.267 | 99.4 + |
| Ni | 132 | 0.155 | NiSO4 | 0.312 | 99.9 + |
3.2. Precious and Platinum Group Metals Recovery (Stages 3 and 4)


| Element | SuperLig ® | Capacity of SuperLig® (mM/g of SuperLig ®) | Product | Element Concentration (g/L) | Product Purity (%) |
|---|---|---|---|---|---|
| Pd | 2 | 0.282 | (NH4)2Pd(SO3)2 | 2.99 | 99 + |
| Pt | 186 | 0.101 | H2PtCl6 | 1.06 | 99 + |
| Ag | 186 | 0.048 | AgCl | 1.60 | 99 + |
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Navarro-Tovar, R.; Leija, M.D.; Navarro-Tovar, L.G.; Izatt, S.R. Molecular Recognition TechnologyTM (MRT™) for Selective Metal Separation in Green E-Waste Processing. Eng. Proc. 2026, 127, 11. https://doi.org/10.3390/engproc2026127011
Navarro-Tovar R, Leija MD, Navarro-Tovar LG, Izatt SR. Molecular Recognition TechnologyTM (MRT™) for Selective Metal Separation in Green E-Waste Processing. Engineering Proceedings. 2026; 127(1):11. https://doi.org/10.3390/engproc2026127011
Chicago/Turabian StyleNavarro-Tovar, Roberto, Minerva Davila Leija, Luis G. Navarro-Tovar, and Steven R. Izatt. 2026. "Molecular Recognition TechnologyTM (MRT™) for Selective Metal Separation in Green E-Waste Processing" Engineering Proceedings 127, no. 1: 11. https://doi.org/10.3390/engproc2026127011
APA StyleNavarro-Tovar, R., Leija, M. D., Navarro-Tovar, L. G., & Izatt, S. R. (2026). Molecular Recognition TechnologyTM (MRT™) for Selective Metal Separation in Green E-Waste Processing. Engineering Proceedings, 127(1), 11. https://doi.org/10.3390/engproc2026127011

